User network awareness portraying method and device

Abstract

The embodiment of the invention provides a user network awareness portraying method and device. The method comprises the steps: collecting the Internet surfing behavior data, XDR data, MR data and complaint data of a target user, and analyzing the performance data representing the network awareness of the target user from the Internet surfing behavior data; associating the performance data, the XDR data, the MR data and the complaint data, acquiring perception fusion information of the target user, and acquiring a service type of the perception fusion information according to the perception fusion information; selecting data corresponding to the service type from the perception fusion information according to the service type; inputting the selected data into a user perception portrait model, outputting a network perception score of the target user, and obtaining a user network perception description corresponding to the network perception score. According to the embodiment of the invention, accurate user perception portrait is realized.

Description

technical field [0001] The invention belongs to the technical field of mobile communication wireless networks, and in particular relates to a user network perception portrait method and device. Background technique [0002] Existing technologies mainly rely on user surveys, user complaints, and monitoring network indicators to simulate and evaluate user network perception and locate poor network quality. [0003] Among them, due to the strong subjectivity of users, the user survey method generally adopts scores or simple descriptions to evaluate perceptions. The dimensions are vague, single, and poorly professional. It is difficult to obtain accurate user perception evaluations and locate the root causes of poor network quality. [0004] The user complaint method has a lag, and the user perception and the location of the poor network quality problem can only be known after the user complains, which seriously affects the user experience. In addition, the user's description o...

AI Technical Summary

Problems solved by technology

[0003] Among them, due to the strong subjectivity of users, the user research method generally uses scores or simple descriptions to evaluate perceptions, and the dimensions are vague, single, and poorly professional. It is difficult to obtain accurate user perception evaluations and locate the root causes of poor network quality.

[0004] The user complaint method is lagging, and the user perception and the location of the poor network quality problem can only be known after the user complains, which seriously affects the user experience

In addition, the user's description of the problem phenomenon and location is usually vague, making it difficult to accurately locate the cause of poor quality and the involved network elements or cells

[0005] Network indicator monitoring method Since network indicators are statistical averages at the network element level, and because the minimum granularity of network indicator statistics is minute-level, and the granularity of user perception exceptions is second-level events, it is difficult to monitor network indicators to accurately map the perception of a single user , currently there is a common situation where the indicators are good but the user perception is not good

In addition, Internet applications are flexible and diverse, and the lack of effective mapping between user experience and telecommunication protocols is also an important reason why measurement indicators are difficult to match user perception

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